Elena Asparouhova, Peter Bossaerts, Xiaoqin Cai, Kristian Rotaru, Nitin Yadav, Wenhao Yang
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引用次数: 0
Abstract
We present results from an experiment where participants have access to automated trading algorithms, which they may deploy at will while still trading manually. Treatments differ in whether robots must not be halted, deployment is compulsory, or robots can be halted and replaced at will. We hypothesize that robot trading would reduce mispricing, and that the effect would be more pronounced as commitment degree increases. Yet, compared to manual trading only, we observe equally large and frequent mispricing and, in early trading, significantly higher bid-ask spreads and more frequent flash crashes/price surges. Participants earn more provided they combine robot and manual trading. Compared to evidence from archival data, we find significantly higher use of liquidity-taking robots. We attribute this to the inability, in the field, to identify the presence of liquidity takers when they happen not to trade.
期刊介绍：
The Review of Finance, the official journal of the European Finance Association, aims at a wide circulation and visibility in the finance profession. The journal publishes high-quality papers in all areas of financial economics, both established and newly developing fields: • •Asset pricing •Corporate finance •Banking and market microstructure •Law and finance •Behavioral finance •Experimental finance Review of Finance occasionally publishes special issues on timely topics, including selected papers presented at the meetings of the European Finance Association or at other selected conferences in the field.
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